Timing is key for robot trust repair

Paul Robinette, Ayanna M. Howard, Alan R. Wagner

Research output: Contribution to journalConference articlepeer-review

26 Scopus citations

Abstract

Even the best robots will eventually make amistake while performing their tasks. In our past experiments, we have found that even one mistake can cause a large loss in trust by human users. In this paper, we evaluate the effects of a robot apologizing for its mistake, promising to do better in the future, and providing additional reasons to trust it in a simulated office evacuation conducted in a virtual environment. In tests with 319 participants, we find that each of these techniques can be successful at repairing trust if they are used when the robot asks the human to trust it again, but are not successful when used immediately after the mistake. The implications of these results are discussed.

Original languageEnglish (US)
Pages (from-to)574-583
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9388 LNCS
DOIs
StatePublished - 2015
Event7th International Conference on Social Robotics, ICSR 2015 - Paris, France
Duration: Oct 26 2015Oct 30 2015

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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